Papers

Peer-reviewed
2013

Bias equalizer for binary probabilistic fingerprinting codes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Minoru Kuribayashi

Volume
7692
Number
First page
269
Last page
283
Language
English
Publishing type
Research paper (international conference proceedings)
DOI
10.1007/978-3-642-36373-3_18
Publisher
Springer-Verlag

In binary probabilistic fingerprinting codes, the number of symbols "0" and "1" is generally balanced because of the design of the codeword. After a collusion attack, the balance of symbols is not always assured in a pirated codeword. It is reported in [8] that if the number of symbols in a pirated codeword is unbalanced, then a tracing algorithm can be improved by equalizing the unbalanced symbols. In this study, such a bias equalizer is customized for probabilistic fingerprinting codes utilizing the encoding parameters. Although the proposed bias equalizer is highly dependent on collusion strategies, it can improve the performance of traceability for some typical strategies to which the conventional bias equalizer can not be applied. © 2013 Springer-Verlag.

Link information
DOI
https://doi.org/10.1007/978-3-642-36373-3_18
DBLP
https://dblp.uni-trier.de/rec/conf/ih/Kuribayashi12
URL
http://dblp.uni-trier.de/db/conf/ih/ih2012.html#conf/ih/Kuribayashi12
ID information
  • DOI : 10.1007/978-3-642-36373-3_18
  • ISSN : 0302-9743
  • ISSN : 1611-3349
  • DBLP ID : conf/ih/Kuribayashi12
  • SCOPUS ID : 84874427694

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